For the first three setups - Normal, DC2, and the Open University Learning Analytics dataset
- we set the significance level \(\alpha = 0.1\) . We then measure the run-time and empirical
type I and type II error rates over 200 repeated tests for all the evaluated
tests: (1) SOM (our proposal), (2) the kNN permutation test [1]},
and (3) two classifier tests (kNN and Neural Network) [2]}.
